Alexander Dvilansky

564 total citations
22 papers, 456 citations indexed

About

Alexander Dvilansky is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Alexander Dvilansky has authored 22 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Alexander Dvilansky's work include Cytokine Signaling Pathways and Interactions (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Acute Myeloid Leukemia Research (2 papers). Alexander Dvilansky is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Acute Myeloid Leukemia Research (2 papers). Alexander Dvilansky collaborates with scholars based in Israel, Italy and United States. Alexander Dvilansky's co-authors include Ilana Nathan, Ofer Shpilberg, Ariel G. Loewy, A.F.H. Britten, Amos D. Korczyn, Amos Douvdevani, Shraga Shany, Cidio Chaimovitz, Gilles Lugassy and Jacob Sage and has published in prestigious journals such as Blood, Pain and International Journal of Cancer.

In The Last Decade

Alexander Dvilansky

21 papers receiving 428 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Dvilansky Israel 10 140 132 88 77 57 22 456
K. R. Bruckdorfer United Kingdom 14 57 0.4× 196 1.5× 56 0.6× 110 1.4× 18 0.3× 33 686
Mitsuharu Narita Japan 12 34 0.2× 110 0.8× 46 0.5× 92 1.2× 44 0.8× 31 490
Kouseki Hirade Japan 14 71 0.5× 297 2.3× 36 0.4× 40 0.5× 23 0.4× 38 548
Kevin Shoulars United States 13 92 0.7× 159 1.2× 48 0.5× 33 0.4× 77 1.4× 23 377
Zuanel Diaz Canada 13 104 0.7× 283 2.1× 59 0.7× 26 0.3× 32 0.6× 21 605
David C. B. Mills United States 11 276 2.0× 136 1.0× 63 0.7× 11 0.1× 72 1.3× 15 676
Paul Braun United States 13 291 2.1× 212 1.6× 109 1.2× 31 0.4× 44 0.8× 22 861
Arthur S. Brecher United States 14 56 0.4× 181 1.4× 39 0.4× 124 1.6× 21 0.4× 65 539
A Ruffo Italy 12 83 0.6× 226 1.7× 21 0.2× 21 0.3× 33 0.6× 53 509
Ulrike R. Schwarz Germany 4 238 1.7× 176 1.3× 34 0.4× 13 0.2× 42 0.7× 6 641

Countries citing papers authored by Alexander Dvilansky

Since Specialization
Citations

This map shows the geographic impact of Alexander Dvilansky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexander Dvilansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Dvilansky more than expected).

Fields of papers citing papers by Alexander Dvilansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Dvilansky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexander Dvilansky. The network helps show where Alexander Dvilansky may publish in the future.

Co-authorship network of co-authors of Alexander Dvilansky

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Dvilansky. A scholar is included among the top collaborators of Alexander Dvilansky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Dvilansky. Alexander Dvilansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Dvilansky, Alexander, et al.. (2003). Multifactorial activities of nonsteroidal antiestrogens against leukemia. Cancer Detection and Prevention. 27(5). 389–396. 9 indexed citations
3.
Dvilansky, Alexander, et al.. (2003). Appraisal of the MTT-based Assay as a Useful Tool for Predicting Drug Chemosensitivity in Leukemia. Leukemia & lymphoma. 44(11). 1957–1962. 106 indexed citations
4.
Dvilansky, Alexander, et al.. (2002). Involvement of Proteases in the Action of IFN- γ on WISH Cells. Journal of Interferon & Cytokine Research. 22(8). 847–852. 3 indexed citations
5.
Chaimovitz, Cidio, Alexander Dvilansky, Gilles Lugassy, et al.. (2002). Novel role of 1,25(OH)2D3 in induction of erythroid progenitor cell proliferation. Experimental Hematology. 30(5). 403–409. 94 indexed citations
6.
Nathan, Ilana, et al.. (1998). Alterations in Membrane Lipid Dynamics of Leukemic Cells Undergoing Growth Arrest and Differentiation: Dependency on the Inducing Agent. Experimental Cell Research. 239(2). 442–446. 18 indexed citations
7.
Zou, Jian-Ping, et al.. (1997). Distamycin-A derivatives potentiate tumor-necrosis-factor activityvia the modulation of tyrosine phosphorylation. International Journal of Cancer. 72(5). 810–814. 1 indexed citations
8.
Wang, Xiaolin, et al.. (1996). The Roles of Protein Phosphorylation/Dephosphorylation in Tumor Necrosis Factor Antitumor Effects. Journal of Interferon & Cytokine Research. 16(12). 1021–1025. 6 indexed citations
9.
Agam, Galila, et al.. (1994). Radiation Damage to the Erythrocyte Membrane: The Effects of Medium and Cell Concentrations. Free Radical Research. 21(3). 135–146. 14 indexed citations
10.
Dvilansky, Alexander, et al.. (1994). Rapid interferon-gamma-stimulated tyrosine phosphorylation of cytosolic and membranal proteins in HL-60 promyelocytic cells. Leukemia Research. 18(3). 205–211. 2 indexed citations
11.
Wolfson, Marina, et al.. (1993). Synergistic effect of interferon‐γ and phorbol myristate acetate on superoxide production by human monocytes.. Cell Biology International. 17(6). 595–602. 1 indexed citations
12.
Agam, Galila, et al.. (1985). Lysine binding to activated human platelets and its similarity to fibrinogen binding. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 847(3). 293–300. 2 indexed citations
13.
Nathan, Ilana, et al.. (1982). Cannabinoids and serotonin uptake by blood platelets: Evidence for multiple sites of action. Biochemical Pharmacology. 31(3). 439–441. 6 indexed citations
14.
Vorobiof, Daniel, et al.. (1978). Chronic Granulocytic Leukemia, Neutrophilic Type, with Paraproteinemia (IgA Type K). Acta Haematologica. 60(5). 316–320. 14 indexed citations
15.
Nathan, Ilana, Alexander Dvilansky, Jacob Sage, & Amos D. Korczyn. (1977). Effects of propranolol and pindolol on platelet aggregation and serotonin release. Life Sciences. 20(3). 407–411. 36 indexed citations
16.
Dvilansky, Alexander, et al.. (1976). Release of platelet 5-hydroxytryptamine by plasma taken from patients during and between migraine attacks. Pain. 2(3). 315–318. 33 indexed citations
17.
Alkan, Michael, Assa Mayersdorf, & Alexander Dvilansky. (1975). Electroencephalographic and Encephalopathic Findings in Multiple Myeloma: Hyperviscosity versus Hypercalcemia. Clinical Electroencephalography. 6(1). 16–22. 1 indexed citations
18.
Dvilansky, Alexander, et al.. (1975). Chronic Eosinophilic Leukemia Complicated by Epidural Myeloblastoma. Acta Haematologica. 53(6). 356–361. 8 indexed citations
19.
Biran, Haim, Alexander Dvilansky, Ilana Nathan, & Avinoam Livné. (1973). Impairment of Human Platelet Aggregation and Serotonin Release Caused in Vitro by Echis Colorata Venom. Thrombosis and Haemostasis. 30(1). 191–198. 14 indexed citations
20.
Dvilansky, Alexander, A.F.H. Britten, & Ariel G. Loewy. (1970). Factor XIII Assay by an Isotope Method. British Journal of Haematology. 18(4). 399–410. 81 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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